prikaz prve stranice dokumenta Detekcija jezgri stanica uz pomoć algoritama evolucijskog računanja
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undergraduate thesis
Detekcija jezgri stanica uz pomoć algoritama evolucijskog računanja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. urn:nbn:hr:168:101378
Matak, Josip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Matak, J. (2018). Detekcija jezgri stanica uz pomoć algoritama evolucijskog računanja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:101378

Matak, Josip. "Detekcija jezgri stanica uz pomoć algoritama evolucijskog računanja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:101378

Matak, Josip. "Detekcija jezgri stanica uz pomoć algoritama evolucijskog računanja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:101378

Matak, J. (2018). 'Detekcija jezgri stanica uz pomoć algoritama evolucijskog računanja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 16 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:101378

Matak J. Detekcija jezgri stanica uz pomoć algoritama evolucijskog računanja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 July 16] Available at: https://urn.nsk.hr/urn:nbn:hr:168:101378

J. Matak, "Detekcija jezgri stanica uz pomoć algoritama evolucijskog računanja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:101378

Metadata
TitleDetekcija jezgri stanica uz pomoć algoritama evolucijskog računanja
Title (english)Detection of cell nuclei using evolutionary computation
AuthorJosip Matak
MentorDomagoj Jakobović (mentor)
Committee memberDomagoj Jakobović (predsjednik povjerenstva)
Committee memberNikolina Frid (član povjerenstva)
Committee memberMarko Đurasević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Tema ovog rada je problem detekcije jezgara stanica iz mikroskopskih slika pristupom temeljenim na metodama morfoloških transformacija optimiziranih evolucijskim algoritmima i metodom odsijecanja praga. Problem se sveo na optimiranje pravilnog slijeda morfoloških transformacija i njima pripadnog strukturnog elementa korištenog u obradi slike. Ostvarena je mogućnost evoluiranja tog slijeda koristeći genetski algoritam i genetsko programiranje, čije su značajke opisane i uspoređivane. Dobiveni rezultati pokazali su kako model nije dovoljno prilagodljiv da bi nadmašio do sada korištene tehnike segmentacije biomedicinskih slika, premda se pokazao kao rješenje koje na okruženju koje nije dodatno zakomplicirano daje brze i točne rezultate. Takvi konačni rezultati jednim dijelom učinak su spore obrade velike količine slika i vremenske ograničenosti na dodatna istraživanja.
Abstract (english)
Main problem elaborated in this paper is detecting cell's nucleus within given microscopic photo using methods of morphology transformations optimized by evolutionary computing algorithms and thresholding methods for segmentation featuring elements. Optimization problem is finding the most suitable configuration of given morphology transformations and their given structuring element used in image segmentation. Realized versions of optimization techniques are genetic algorithm and genetic programming which features are compared in paper. Final results suggested that resulted model wasn't as successful as modern day used segmentation techniques. Although, in much simpler environment model seems to be suited for the task given. Usage of great number of images in segmentation is very time consuming and it was a barrier for delivering better results on this problem.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:101378
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2019-03-13 22:48:58